TTS Decoder

The TTS Decoder processes audio produced by text-to-speech systems to produce accurate transcripts with optional time-stamps. It is designed for QA teams, linguists, localization engineers, and developers integrating TTS workflows. Conceptually, the tool applies an ASR model pipeline to synthetic speech, aligning words to timecodes and providing per-word confidence when available. It emphasizes robustness to synthetic audio characteristics, such as consistent enunciation and predictable prosody, while supporting multiple language variants. Core value lies in producing searchable transcripts, enabling quick verification of pronunciation, pacing, and content fidelity across large TTS datasets. Core features include optional time-stamped transcripts, optional speaker diarization, various export formats (TXT, SRT, JSON), and API-oriented outputs for integration. The differentiators are emphasis on synthetic speech, configurable language models, and streamlined exports for QA, subtitles, and localization pipelines. Use cases include validating TTS voice variants, preparing subtitles for media projects, and providing ground truth for TTS evaluators. The tool supports chunking of long audio, handling of common audio codecs, and privacy-focused options to avoid unnecessary storage. It is advantageous for teams needing repeatable, auditable transcription results with structured metadata and straightforward integration points.